/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.sql

import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.AttributeReference
import org.apache.spark.sql.catalyst.plans.logical.LocalRelation
import org.apache.spark.sql.types.StructType

class SessionWrapper(sparkSession: SparkSession) {
  def internalCreateDataFrame(catalystRows: RDD[InternalRow],
                              schema: StructType,
                              isStreaming: Boolean = false) = {
    sparkSession.sqlContext.internalCreateDataFrame(catalystRows, schema, isStreaming = true)
  }

  def createDataFrame(data: Iterator[Row], schema: StructType) = {
    val localRelation = LocalRelation.fromExternalRows(
      schema.fields.map(f => AttributeReference(f.name, f.dataType, f.nullable, f.metadata)()),
      data.toSeq)
    Dataset.ofRows(sparkSession, localRelation)
  }
}
